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YangLiangwei

PersonalizationMCP

by YangLiangwei

test_bilibili_credentials

Verify Bilibili API credentials to confirm they are valid, enabling personalized data access from Bilibili through the PersonalizationMCP server.

Instructions

Test Bilibili API credentials.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. The description only says 'Test Bilibili API credentials' and gives no information about side effects, return values, or what constitutes success/failure. For a test operation, one would expect clarity on whether it mutates anything or what the output indicates.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence with no wasted words. It front-loads the verb and resource, making it extremely concise and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with no parameters and has an output schema (present but not detailed). The description, however, does not explain what the test actually validates (e.g., token validity, API reachability) or what the output will look like. Given the presence of an output schema, the description could rely on that, but it still leaves the purpose of the test ambiguous.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, so the schema trivially covers everything. The baseline for 0 params is 4, and the description doesn't need to add parameter details. It correctly avoids irrelevant parameter information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Test') and the resource ('Bilibili API credentials'), making it specific and easily distinguishable from sibling tools like test_steam_credentials or test_connection. The verb+resource pattern is precise.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus the many other test_* or connection tools. An agent is left to infer that this tests Bilibili-specific credentials, but there is no explicit mention of prerequisites, alternatives, or scenarios where this should be preferred.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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